Real-World Use of Terlipressin in Cirrhosis and Acute Kidney Injury: Frequent Use Beyond Hepatorenal Syndrome
Bibliographic record
Abstract
BACKGROUND & AIMS: Terlipressin is indicated to treat hepatorenal syndrome (HRS)-acute kidney injury (AKI) but is likely used outside this primary indication in clinical practice. We aimed to investigate real-world practice patterns on the use of terlipressin in AKI in cirrhosis. METHODS: International prospective study including patients hospitalized for decompensated cirrhosis. This was a subgroup analysis of patients who received terlipressin to treat AKI. Primary outcome was AKI resolution. Secondary outcomes were respiratory failure and 28-day mortality. RESULTS: Among 1456 patients with AKI, 243 (17%) received terlipressin. Terlipressin was predominantly administered as a continuous infusion (75%). The AKI phenotype was HRS-AKI in 50%, acute tubular necrosis (ATN) in 17%, hypovolemic in 25%, and other in 8%. AKI resolution occurred in 49% of the patients, and was lowest in ATN (29%), followed by HRS-AKI (51%) and hypovolemic (63%). ATN was independently associated with lack of AKI resolution (odds ratio, 2.77; 95% confidence interval, 1.24-6.54; P = .02). De novo respiratory failure occurred in 20% of patients. There were no significant differences in the amount of albumin received nor acute-on-chronic liver failure grade between those who did and did not develop respiratory failure. The presence of pneumonia independently predicted respiratory failure (odds ratio, 7.80; 95% confidence interval, 2.43-26.95; P < .001). Mortality rate at 28 days was 36%; ATN and hospital-acquired AKI independently predicted 28-day mortality. CONCLUSIONS: Terlipressin is often used for treatment of AKI outside its primary indication of HRS-AKI. Compared with patients with HRS-AKI, response to terlipressin is significantly lower in patients with ATN, in whom the risks may outweigh the benefits. Respiratory failure is common but does not seem to be driven by the amount of albumin received nor acute-on-chronic liver failure grade.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".